Exploring the country co-occurrence network in the twittersphere at an international economic event

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

View graph of relations

Author(s)

Detail(s)

Original languageEnglish
Title of host publicationSocial Media Processing - 6th National Conference, SMP 2017, Proceedings
PublisherSpringer Verlag
Pages308-318
Volume774
ISBN (print)9789811068041
Publication statusPublished - 2017
Externally publishedYes

Publication series

NameCommunications in Computer and Information Science
Volume774
ISSN (Print)1865-0929

Conference

Title6th National Conference on Social Media Processing, SMP 2017
PlaceChina
CityBeijing
Period14 - 17 September 2017

Abstract

This paper explores how international relations are represented on social media in the context of an international economic event, specifically the “Belt and Road Initiative” proposed by the government of mainland China. The present study focuses on the country co-occurrence network represented in the Twittersphere, such that a link is established between two countries if they appear in the same tweet. The study also investigates how the formation of such a network can be explained by geographical, political, and economic factors. An application programming interface (API) harvested all relevant public tweets (n= 26,515) in a one-month time span (2 June–28 June 2017). The names of the countries or regions were extracted to establish the network, with 52 nodes (countries or regions) and 86 edges. Social network analysis revealed that mainland China, Hong Kong, Pakistan, Greece, Kenya, and Iran were in the network’s important positions, as indicated by their high betweenness centrality. Exponential random graph modeling (ERGM) results suggested that West Asian countries engaging heavily in international polities, countries with lower levels of press freedom, and those receiving less direct investment from mainland China, were more likely to be tweeted together. © Springer Nature Singapore Pte Ltd. 2017.

Research Area(s)

  • Country co-occurrence network, Exponential random graph models, International relations, Social network analysis, Text mining, Twittersphere

Bibliographic Note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Citation Format(s)

Exploring the country co-occurrence network in the twittersphere at an international economic event. / Zhang, Xinzhi.
Social Media Processing - 6th National Conference, SMP 2017, Proceedings. Vol. 774 Springer Verlag, 2017. p. 308-318 (Communications in Computer and Information Science; Vol. 774).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review